Upload fine-tuned QA model with LoRA

adapter_config.json

@@ -23,12 +23,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "feed_forward.down_proj",
-    "feed_forward.up_proj",
-    "self_attn.q_proj",
-    "self_attn.o_proj",
     "self_attn.v_proj",
-    "self_attn.k_proj"
+    "self_attn.o_proj",
+    "self_attn.q_proj",
+    "self_attn.k_proj",
+    "feed_forward.down_proj",
+    "feed_forward.up_proj"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:1bbb13a93628349ce6e3f06e2b85796b933a7e18ef031deb5579adf41cc0007a
 size 25586896

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:d24005e7c16194eaa34f5dae881f5bb3ed67b02c6808e986c266b64e9cb01419
+oid sha256:7ed4e176201052a539f012f41d2eaa27af1df6ceaa0787620fc4e2808d09bc9d
 size 5176